NVIDIA and VMware to Accelerate Machine Learning, Data Science and AI Workloads on VMware Cloud on AWS Accelerated by NVIDIA ...
August 26 2019 - 8:00AM
VMworld U.S. 2019 – NVIDIA and VMware today
announced their intent to deliver accelerated GPU services for
VMware Cloud on AWS to power modern enterprise applications,
including AI, machine learning and data analytics workflows. These
services will enable customers to seamlessly migrate VMware
vSphere-based applications and containers to the cloud, unchanged,
where they can be modernized to take advantage of high-performance
computing, machine learning, data analytics and video processing
applications.
Increasingly businesses are applying artificial intelligence
(AI) technologies to differentiate and advance their processes and
offerings. Enterprises are rapidly adopting AI1 and implementing
new AI strategies that require powerful computers to create
predictive models from petabytes of corporate data. Across
industries, enterprises are implementing machine learning
applications such as image and voice recognition, advanced
financial modeling and natural language processing using neural
networks that rely on NVIDIA GPUs for faster training and real-time
inference. Additionally, VMware recently acquired Bitfusion, which
enables VMware to efficiently make GPU capabilities available for
AI and machine learning workloads in the enterprise.
Through this partnership, VMware Cloud on AWS customers will
gain access to a new, highly scalable and secure cloud service
consisting of Amazon EC2 bare metal instances to be accelerated by
NVIDIA T4 GPUs, and new NVIDIA Virtual Compute Server
(vComputeServer) software.
“From operational intelligence to artificial intelligence,
businesses rely on GPU-accelerated computing to make fast, accurate
predictions that directly impact their bottom line,” said Jensen
Huang, founder and CEO, NVIDIA. “Together with VMware, we’re
designing the most advanced GPU infrastructure to foster innovation
across the enterprise, from virtualization, to hybrid cloud, to
VMware's new Bitfusion data center disaggregation.”
“Our customers are embracing the unique value of VMware Cloud on
AWS to accelerate the migration and modernization of
business-critical applications,” said Pat Gelsinger, CEO, VMware.
“Through new innovations driven by partnerships we have with
industry leaders such as NVIDIA and AWS, we will bring
best-in-class GPU acceleration services for the most intense
data-driven workloads and modern applications across the hybrid
cloud.”
Benefits of VMware Cloud on AWS with NVIDIA GPU for AI,
ML and Data Analytics
Once these services become available, businesses will be able to
leverage an enterprise-grade hybrid cloud platform to accelerate
application modernization. They will be able to unify deployment,
migration and operations across a consistent VMware infrastructure
from data center to the AWS cloud in support of most
compute-intensive workloads, including AI, machine learning and
data analytics. Benefits will include:
- Seamless portability: Customers will be able
to move workloads powered by NVIDIA vComputeServer software and
GPUs with a single click of a button, and no downtime, using VMware
HCX. This will give customers more choice and flexibility to
execute training and inference in the cloud or on-premises.
- Elastic AWS infrastructure: With the ability
to automatically scale VMware Cloud on AWS clusters, accelerated by
NVIDIA T4, administrators will be able to grow or shrink available
training environments depending on the needs of their data
scientists.
- Accelerated computing for modern applications:
NVIDIA T4 GPUs feature Tensor Cores for acceleration of deep
learning inference workflows. When these are combined with
vComputeServer software for GPU virtualization, businesses have the
flexibility to run GPU-accelerated workloads like AI, machine
learning and data analytics in virtualization environments for
improved security, utilization and manageability.
- Consistent Hybrid Cloud Infrastructure and
Operations: With VMware Cloud on AWS, organizations can
establish consistent infrastructure and consistent operations
across the hybrid cloud, leveraging VMware industry-standard
vSphere, vSAN and NSX as a foundation for modernizing
business-critical applications. IT operators will be able to manage
GPU-accelerated workloads within vCenter, alongside GPU-accelerated
workloads running on vSphere on-premises.
- Seamless, end-to-end data science and analytics
pipeline: The NVIDIA T4 data center GPU supercharges
mainstream servers and accelerates data science techniques using
NVIDIA RAPIDS™, a collection of NVIDIA GPU acceleration libraries
for data science including deep learning, machine learning and data
analytics.
1) Gartner, “AI and ML Development Strategies,” July 15,
2019.
About NVIDIANVIDIA (NASDAQ: NVDA) is a computer
technology company that has pioneered GPU-accelerated computing. It
targets the world’s most demanding users — gamers, designers and
scientists — with products, services and software that power
amazing experiences in virtual reality, artificial intelligence,
professional visualization and autonomous cars. More information at
http://www.nvidia.com/#source=pr.
About VMwareVMware software powers the world’s
complex digital infrastructure. The company’s cloud, networking and
security, and digital workspace offerings provide a dynamic and
efficient digital foundation to customers globally, aided by an
extensive ecosystem of partners. Headquartered in Palo Alto,
California, VMware is committed to being a force for good, from its
breakthrough innovations to its global impact. For more
information, please
visit https://www.vmware.com/company.html.
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this press release including, but not limited to, statements as to:
forward-looking statements that are subject to risks and
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For further information, contact:
Gail LagunaSr. PR ManagerNVIDIA
Corporation+1-408-386-2435glaguna@nvidia.com |
Roger T. FortierVMware Global
Communications+1-408-348-1569rfortier@vmware.com |
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